半吊码工's repositories
AppFlowy
Bring projects, wikis, and teams together with AI. AppFlowy is an AI collaborative workspace where you achieve more without losing control of your data. The best open source alternative to Notion.
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-llm-plaza
awesome llm plaza: daily tracking all sorts of awesome topics of llm, e.g. llm for coding, robotics, reasoning, multimod etc.
composio
Composio equip's your AI agents & LLMs with 100+ high-quality integrations via function calling
DrissionPage
基于python的网页自动化工具。既能控制浏览器,也能收发数据包。可兼顾浏览器自动化的便利性和requests的高效率。功能强大,内置无数人性化设计和便捷功能。语法简洁而优雅,代码量少。
fish-speech
Brand new TTS solution
gpt_academic
为ChatGPT/GLM提供实用化交互界面,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
GPTCache
Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
hello-algo
《Hello 算法》:动画图解、一键运行的数据结构与算法教程,支持 Python, C++, Java, C#, Go, Swift, JS, TS, Dart, Rust, C, Zig 等语言。English edition ongoing
kotaemon
An open-source RAG-based tool for chatting with your documents.
litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
llama-agentic-system
Agentic components of the Llama Stack APIs
LLaMA-Factory
Unify Efficient Fine-Tuning of 100+ LLMs
LLM101n
LLM101n: Let's build a Storyteller
open-llms
🤖 A list of open LLMs available for commercial use.
open-webui
User-friendly WebUI for LLMs (Formerly Ollama WebUI)
OpenDevin
🐚 OpenDevin: Code Less, Make More
RAG-Survey
Collecting awesome papers of RAG for AIGC. We propose a taxonomy of RAG foundations, enhancements, and applications in paper "Retrieval-Augmented Generation for AI-Generated Content: A Survey".
rubik
Agent for LLM with enterprise using
Stirling-PDF
#1 Locally hosted web application that allows you to perform various operations on PDF files
supervision
We write your reusable computer vision tools. 💜
unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.